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USING THE QUIZLET APPLICATION IN IMPROVING STUDENTS’ ENGLISH VOCABULARY AT SMP TUJUH LIMA MAKASSAR Varian, Devlin Janitra; Muliati, Muliati; Rampeng, Rampeng
THE ACADEMIC: ENGLISH LANGUAGE LEARNING JOURNAL Vol 10 No 1 (2025): THE ACADEMIC: JOURNAL OF ENGLISH LANGUAGE EDUCATION
Publisher : Lembaga Jurnal FKIP Universitas Bosowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52208/aellj.v10i1.1460

Abstract

This research aims to determine the improvement in students' English vocabulary using the Quizlet application on seventh grade at SMP Tujuh Lima Makasssar academic year 2024/2025. This research used a pre-experimental method with a one-group pre-test and post-test design. The research samples were from 22 seventh-grade students at SMP Tujuh Lima Makassar. Data were collected through a multiple-choice vocabulary test administered before and after the treatment. During the treatment, students learned vocabulary through various features in the Quizlet application, which made learning more interesting. Data were analyzed using descriptive statistics and paired t-test using SPSS version 25. The results of this research indicate that students' vocabulary scores improved significantly after using Quizlet. The average score increased from 54.45 on the pre-test to 73.23 on the post-test. The paired t-test results showed a significance level of 0.000 < 0.05, indicating that the improvement was statistically significant. Additionally, through Quizlet's interactive features, students became enthusiastic, active, and motivated in vocabulary learning, enabling the Quizlet application to improve students' English vocabulary mastery.
Deep Learning Technologies in Enhancing Speaking Proficiency: A Literature-Based Analysis of a New Pedagogical Paradigm in TEFL Rampeng, Rampeng; Rizal, A.; Nopitasari, Dewi; Syam, Ulfah
Lingua Franca Vol. 4 No. 2 (2025): Bahasa dan Sastra
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/lingua_franca.v4i2.8291

Abstract

This study explores how deep learning (DL) technologies, particularly those integrated into tools such as automatic speech recognition (ASR), text-to-speech (TTS), and AI-powered pronunciation applications, can transform speaking instruction by introducing a new pedagogical paradigm. Through a qualitative, literature-based methodology, this research analyzes thirty peer-reviewed studies published between 2020 and 2025. The findings reveal that DL tools significantly enhance learners’ pronunciation, rhythm, and fluency through real-time feedback and adaptive learning paths. In addition, these tools contribute to affective gains by reducing speaking anxiety and increasing learner motivation. However, challenges such as algorithmic bias, limited effectiveness in pragmatic discourse, and a lack of teacher training remain significant barriers to full integration. The discussion highlights the shifting role of TEFL instructors from content deliverers to facilitators of technology-enhanced learning environments. The study also emphasizes the importance of considering ethical implications and ensuring data privacy when implementing DL applications. Recommendations are provided for educators, institutions, and researchers to foster effective, equitable, and sustainable use of DL in language education. By bridging the gap between AI technologies and pedagogical practice, this paper proposes a forward-looking framework that positions deep learning not merely as a tool but as a transformative force in TEFL speaking instruction.